liebertar - Overview

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AI Integration

Experience

FinTech

  • Building an agentic AI serving platform centered around observability and memory management
  • Designing LLM tracing and observatory pipelines connected to knowledge management systems
  • Developing multi-agent orchestration for financial automation workflows
  • Evaluating and automating RAG pipelines and agent evaluation frameworks

Cloud-Native AI

  • Fine-tuned open-source LLMs for domain-specific reasoning
  • Designed distributed LLM training pipelines on multi-cloud environments
  • Automated ML lifecycle on Kubernetes with custom operators

Automotive

  • Built RAG applications for automotive consultation and technical documentation
  • Developed custom parsing and preprocessing modules for diverse document formats
  • Built data ingestion pipelines for multi-source automotive datasets
  • Integrated corporate data across multiple European countries under GDPR constraints

Open Source

  • Graphiti — Knowledge graph construction for AI agents
  • Serena — Semantic code retrieval and editing toolkit (MCP server)
  • Aristotle — Blockchain-based artwork platform (own project)

Research Interests

Fine-tuning for domain adaptation · Human-in-the-loop agent design · Agent memory architectures · LLM observability and tracing Medium: @liebertar

Activity

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